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Court Shark Tennis Desk

Bejlek vs Parks: Ningbo model and market split

Bejlek's hard-court history supports favoritism against Parks in Ningbo, but uneven recent results leave room for a more cautious forecast.

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63% is Court Shark's model probability for Sara Bejlek against Alycia Parks in Ningbo. Their head-to-head and broader hard-court records support favoritism, but Bejlek's uneven recent form supports more caution than the market shows.

The disagreement is about the size of Bejlek's edge

The market consensus has Sara Bejlek at 83% against Alycia Parks, up from an opening 82%. Both readings favor Bejlek. The disagreement concerns how much room remains for an upset, rather than which player should be the pick for this match in Ningbo. Prices establish the market's expectation, but they do not explain its reasons.

Recent results offer a reason for caution alongside a clear argument for favoring Bejlek: she is 5-5 over her latest matches, while Parks is 3-7. Their recent hard-court records are identical to those overall records, so changing the lens to this surface does not strengthen the immediate form case. Bejlek has lost her last two matches. Parks also arrives after a defeat, leaving neither player with a winning run to defend. My reading is that this supports Bejlek as the favorite without making recent form alone a persuasive case for such a strong market preference.

Model and market on Sara Bejlek

Article snapshot, Oct 19, 2026 · Not live

Sara Bejlek's chance as the market consensus priced it from the opening line, next to the Court Shark model.

Sara Bejlek's chance to win
ReadingSara BejlekAlycia Parks
Opening consensus82%18%
Latest consensus83%17%
Court Shark model63%37%
Source: Court Shark model and pre-match market consensus.

The matchup history strengthens Bejlek's case

Bejlek leads the head-to-head 3-0, with every meeting played on hard courts. That matters here. Unlike a record built on another surface, these results come from the same surface as the upcoming match, making them directly relevant to the comparison. The limitation is the small matchup sample: repeated success supports her case, but does not establish that Parks cannot reverse it.

Their latest meeting in Guadalajara ended 6-4 6-3 in Bejlek's favor. That result adds a recent example of her success against Parks, rather than leaving the argument dependent entirely on meetings further in the past.

The broader hard-court records point in the same direction, with Bejlek at 21-11 and Parks at 13-16 in their available statistical samples. That provides support beyond their meetings with each other. My interpretation is that Bejlek's advantage looks more convincing across this broader stretch than it does through recent results alone. She has both beaten this opponent repeatedly and won more consistently on the surface, giving her a stronger case than the immediate form comparison alone provides.

Head-to-head by surface

Article snapshot, Oct 19, 2026 · Not live

Sara Bejlek and Alycia Parks have met 3 times. Sara Bejlek leads 3-0.

Head-to-head record, Sara Bejlek first
SurfaceSara BejlekAlycia Parks
All surfaces30
Hard30
Source: Court Shark model and match data.

Return games are the clearest test

Both players held serve at 66% in the available hard-court samples. Serving offers no separation here. That makes it harder to argue from these averages that Bejlek should control the match simply by protecting her own service games more reliably than Parks. It also directs attention toward what happens when each player returns.

Bejlek broke serve in 42% of return games, compared with 28% for Parks. That difference gives a concrete explanation for how the favorite could create an advantage despite their matching hold rates, without assuming every service game will follow the averages. My reading is that Bejlek's return is the clearest strength Parks must contain. These are separate samples against different opponents, rather than a direct measure of how their serves and returns interact.

The useful test is whether Bejlek wins more return games than Parks, rather than whether either player appears comfortable on serve. If Parks matches or exceeds Bejlek's success in return games, that would challenge the clearest statistical argument for the favorite.

Explore this matchup

Compare both players side by side: recent results, surfaces, serve and return.

Player comparison

Article snapshot, Oct 19, 2026 · Not live

Each measure on the same scale: recent wins, wins on this surface, head-to-head wins and the model's chance.

Player comparison
MeasureSara BejlekAlycia Parks
Wins, last 10 matches50% (5-5)30% (3-7)
Wins, last 10 on hard50% (5-5)30% (3-7)
Head-to-head wins100% (3-0)0% (0-3)
Model win probability63%37%
Source: Court Shark model and match data.

Recent form

Article snapshot, Oct 19, 2026 · Not live

Each player's most recent completed matches, up to 10, oldest on the left.

Recent results by player, oldest first
PlayerDateResultOpponentScoreEvent
Sara BejlekAug 18, 2026WEkaterina Alexandrova4-6 6-1 6-2Cincinnati
Sara BejlekAug 20, 2026WAryna Sabalenka7-6(7) 6-4Cincinnati
Sara BejlekAug 21, 2026WMadison Keys3-6 6-4 7-6(5)Cincinnati
Sara BejlekAug 22, 2026LCori Gauff4-6 1-6Cincinnati
Sara BejlekAug 31, 2026LCristina Bucsa5-7 6-4 1-6US Open
Sara BejlekSep 15, 2026WAlycia Parks6-4 6-3Guadalajara
Sara BejlekSep 17, 2026LCristina Bucsa0-6 4-6Guadalajara
Sara BejlekOct 2, 2026WMaddison Inglis6-3 7-5Beijing
Sara BejlekOct 4, 2026LNaomi Osaka6-7(4) 4-6Beijing
Sara BejlekOct 12, 2026LJasmine Paolini3-6 4-6WTA Wuhan
Alycia ParksAug 27, 2026LAnn Li2-6 3-6Monterrey
Alycia ParksAug 30, 2026LTaylah Preston3-6 3-6US Open
Alycia ParksSep 13, 2026WVarvara Lepchenko6-3 1-6 7-5Guadalajara
Alycia ParksSep 15, 2026LSara Bejlek4-6 3-6Guadalajara
Alycia ParksSep 22, 2026WMei Yamaguchi6-4 6-3Singapore
Alycia ParksSep 23, 2026LLeylah Fernandez4-6 3-6Singapore
Alycia ParksOct 1, 2026LLin Zhu4-6 2-6Beijing
Alycia ParksOct 10, 2026LAoi Ito4-6 1-6WTA Wuhan
Alycia ParksOct 17, 2026WJeline Vandromme4-6 4-4 RETWTA Ningbo
Alycia ParksOct 18, 2026LYulia Putintseva2-6 2-6WTA Ningbo
Source: Court Shark model and match data.

Win rate by surface

Article snapshot, Oct 19, 2026 · Not live

Share of matches won on each surface across each player's last 50 matches with full statistics.

Win rate by surface
SurfaceSara BejlekAlycia Parks
Hard66% (21-11)45% (13-16)
Clay64% (9-5)56% (9-7)
GrassToo few matches (4)20% (1-4)
Source: Court Shark model and match data.

Serve and return on hard courts

Article snapshot, Oct 19, 2026 · Not live

How often each player held serve and broke serve on hard over their last 50 matches with full statistics, against the tour's all-years average on the surface.

Hold and break rates on hard
MeasureSara BejlekAlycia ParksTour average, all years
Service games held66%66%63%
Return games broken42%28%37%
Matches in sample3229
Source: Court Shark model and match data.

Model win probability

Article snapshot, Oct 19, 2026 · Not live

The Court Shark model's chance for each player to win this match.

Model win probability by player
PlayerWin probabilityRecent form (last 10)
Sara Bejlek63%5-5
Alycia Parks37%3-7
Source: Court Shark model and match data.

Ways to win

Article snapshot, Oct 19, 2026 · Not live

Every way the match can finish. The likeliest single result is Sara Bejlek in straight sets (44%).

Chance of each final set score
ResultChance
Sara Bejlek wins 2-044%
Sara Bejlek wins 2-119%
Alycia Parks wins 2-115%
Alycia Parks wins 2-022%
Source: Court Shark model and match data.

How long it could go

Article snapshot, Oct 19, 2026 · Not live

A 60% chance the match lasts 17 to 27 games; 21 is the middle of the range.

Chance of each total number of games in the match
Total gamesChance
120.3%
131.2%
142.9%
155.2%
167.5%
178.9%
188.8%
198.0%
207.0%
215.1%
225.9%
233.7%
242.0%
253.6%
263.8%
273.5%
283.8%
293.9%
303.6%
313.3%
322.7%
331.8%
341.3%
351.2%
360.5%
380.2%
Source: Court Shark model and match data.

Return games won: where they stand

Article snapshot, Oct 19, 2026 · Not live

Each dot is one of the WTA top 100 with enough matches in the last 52 weeks. Sara Bejlek is 11th of 65; Alycia Parks ranks ahead of 3 of 65.

Return games won, last 52 weeks, against the WTA top 100
PlayerReturn games wonPlace
Sara Bejlek38.7%11th of 65
Alycia Parks28.4%Ahead of 3 of 65
Field median35.0%
Field best (Iga Swiatek)44.1%1st
Source: Court Shark model and match data.
Explore this matchup

Court Shark win probabilities are statistical estimates, not advice. No outcome is guaranteed.

Methodology and sources

How we build model estimates and where our information comes from.

Model estimates and observed results

The win probabilities come from the Court Shark match model, trained on completed ATP and WTA matches. A probability says how often a player in this position wins, not that one result will happen. The model's number for a match is recorded before play and never changed afterwards, so it can be checked against the result.

Sources and citations

Results, scores, rankings and serve statistics come from the Court Shark match database. The market consensus is the pre-match price for each player converted to a probability. Figures in this article are a snapshot taken when it was written.

Limitations

Serve and return rates count only matches with full serve statistics, which are sparser for Challenger and lower-level events, and the tour average they are compared with covers every year on record. Head-to-head records count every meeting with a recorded winner, walkovers and retirements included. Charts and tables are a snapshot and do not update after publication.

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